The incorporation of machine learning methods into proteomics workflows improves the
identification of disease-relevant biomarkers and biological pathways. However, machine …

Introduction This study aimed to identify biomarkers for acute and chronic brucellosis using
advanced proteomic and bioinformatic methods. Methods Blood samples from individuals …

Sepsis is one of the leading causes of mortality in the world. Currently, the heterogeneity of
sepsis makes it challenging to determine the molecular mechanisms that define the …

The application of machine learning algorithms to facilitate the understanding of changes in
proteome states has emerged as a promising methodology in proteomics research …

A pressing statistical challenge in the field of mass spectrometry proteomics is how to assess
whether a given software tool provides accurate error control. Each software tool for …

Biologically-informed neural networks (BINNs) have recently been proposed to aid in
identifying disease-relevant biomarkers and biological pathways using deep neural …